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Effects of hardware heterogeneity on the performance of SVM Alzheimer’s disease classifier
Fully automated machine learning methods based on structural magnetic resonance imaging (MRI) data can assist radiologists in the diagnosis of Alzheimer’s disease (AD). These algorithms require large data sets to learn the separation of subjects with and without AD. Training and test data may come f...
Gorde:
| Egile Nagusiak: | , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2011
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3258661/ https://ncbi.nlm.nih.gov/pubmed/21708272 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.06.029 |
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